The analytic hierarchy process: task scheduling and resource allocation in cloud computing environment

2011 ◽  
Vol 64 (3) ◽  
pp. 835-848 ◽  
Author(s):  
Daji Ergu ◽  
Gang Kou ◽  
Yi Peng ◽  
Yong Shi ◽  
Yu Shi
2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Wenquan Li ◽  
Xindong Peng

To increase the protection level of copyright in cloud computing environment, aiming at the problems that the indicators in the copyright protection evaluation system are difficult to accurately define and cannot be quantified, a comprehensive evaluation model of copyright protection based on the combination of analytic hierarchy process and fuzzy comprehensive evaluation is proposed. First, using the analytic hierarchy process (AHP), the copyright protection evaluation system is constructed and the weight of each evaluation index is determined through the judgment matrix. Then the quantitative evaluation result is fuzzy operated through index weight and evaluated data. Finally, the simulation evaluation results on specific example show that this model is reasonable and effective, and it can provide the evaluation basis and practical reference for copyright protection evaluation in cloud computing environment.


Author(s):  
Hugo Rolando Haurech ◽  
David Luis la Red Martinez

Due to technological advances, organizations have to face many challenges in providing support through the use of information technologies (IT) to carry out tasks that require computing skills. It is important to adopt adequate resources with the aim of developing processing skills that meet actual needs. Cloud computing (CC) represents an alternative that offers many opportunities to be exploited. This chapter introduces characteristics of CC, the technologies that enable its deployment, and a model of selection based on qualifications and mathematical development.


2014 ◽  
Vol 4 (1) ◽  
pp. 33-44 ◽  
Author(s):  
Anil Singh ◽  
Kamlesh Dutta ◽  
Avtar Singh

Cloud Computing has changed the strategy of the way of providing different services to business and government agent as well as to sole users. Cloud Computing provides scalable and on demand services to users irrespective of their physical area. But this computing technology has many challenges. One of them is on demand resource allocation. In this paper a resource allocation method is proposed based on Analytical Hierarchy Process (AHP) called Multicriteria Preference Synthesis (MPS) method. MPS method combines many AHP synthesis methods (Additive Normalization, EigenVector, Multicriteria Synthesis etc.) to assign the priorities to the users' tasks. In MPS method Error Criteria is used to provide the consistency in providing the priorities to users' tasks if any violation is there.


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